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Litigation AI Evaluation Attorney

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How the AI interview works

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.
  3. If you are shortlisted, you are invited to an AI interview.

What to expect

  • It is a conversational interview with an AI recruiter.
  • You can take it any time, from anywhere.
  • It asks open-ended technical questions based on the role, and scenario questions on how you think, solve problems and communicate.
  • You see right away whether you meet the certification criteria. If you do not, you can ask for feedback.
OpenTrain AI

AI Training & Data Labeling

Remote Hourly · $80–$150/hr

$80–$150/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 5, 2026

Posted

Open in 53 countries

United States
+ more
  • Algeria
  • Argentina
  • Austria
  • Bahrain
  • Bangladesh
  • Belgium
  • Brazil
  • Canada
  • Chile
  • Colombia
  • Denmark
  • Egypt
  • Ethiopia
  • France
  • Germany
  • Ghana
  • Greece
  • India
  • Indonesia
  • Italy
  • Japan
  • Jordan
  • Kazakhstan
  • Kenya
  • Kuwait
  • Kyrgyzstan
  • Lebanon
  • Malaysia
  • Mexico
  • Morocco
  • Netherlands
  • Nigeria
  • Oman
  • Pakistan
  • Palestine
  • Peru
  • Philippines
  • Portugal
  • Qatar
  • Saudi Arabia
  • Singapore
  • South Africa
  • Spain
  • Sri Lanka
  • Switzerland
  • Taiwan
  • Thailand
  • Tunisia
  • United Arab Emirates
  • United Kingdom
  • United States
  • Uzbekistan
  • Vietnam

The work

About OpenTrain
OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.

About this role
OpenTrain is recruiting for a Litigation AI Evaluation Attorney to help train and evaluate legal AI systems through rigorous litigation-focused review. You will apply practical legal judgment to simulated disputes, legal analysis, argument construction, case law, and procedural questions, helping improve the precision and reliability of AI-generated legal work.

What you will do
You will perform simulated litigation tasks involving issue spotting, legal analysis, and construction of persuasive legal arguments. You will review AI responses to litigation scenarios for accuracy, legal reasoning, clarity, and alignment with applicable procedure. You will provide expert feedback that identifies weaknesses in model outputs and explains how legal analysis can be improved. You will develop objective evaluation frameworks and grading criteria for assessing AI performance on legal tasks. You will also contribute to guidelines, datasets, and best practices for AI-driven legal solutions in collaboration with research and product teams.

Required skills
A J.D. from an ABA-accredited law school is required. LL.M.-only and foreign-equivalent qualifications do not meet this requirement. Candidates must have active admission to practice law in at least one U.S. jurisdiction and be actively practicing in litigation, corporate, real estate, bankruptcy, or compliance. Seasoned litigation experience is strongly preferred. Strong legal research, writing, motion practice, case strategy, analytical, and communication skills are essential. You should be able to translate legal judgment into precise, actionable feedback for AI systems and work effectively with cross-disciplinary research and product teams.

Helpful background
Judicial clerkship experience, legal instruction such as law school teaching or lecturing, law journal or law review editorial experience, and prior exposure to AI, legal technology, or training initiatives are valuable additions.

Why work with OpenTrain
OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.

Requirements

  • Experience: Mid-Senior level
  • Languages: English

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